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updated 1 month ago

Configurable Test Case Builder (TCB) for Automated Linear Regressions by Prem Nerella

Configurable Test Case Builder for Automated linear regressions (Wireless PHY verification) (phy testing, ieee 80211, physical layer simula...)

SimParams_GUI(varargin)

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updated 2 months ago

Kernel-Based Mixture of Experts Models For Linear Regression by Joseph Santarcangelo

Kernel-Based Mixture of Experts Models For Linear Regression (kernel, mixture of experts, linear regression)

SupervisedMixtureofExpertsParametricTrain.m

GetTrainValidateTest(NumberSamples,NumberTraining,NumberV...

KernalMixtureTrain( X,K,Target,Lables)

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updated 3 months ago

Multivariate Polynomial Regression by Ahmet Cecen

Performs polynomial regression on multidimensional data. (polynomial regression, statistics, multivariable regress...)

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updated 3 months ago

Differentiation of noisy signals by Bartlomiej Ufnalski

Some basic techniques such as linear regression and recursive least squares filter are presented. (differentiator, differentiation, noise)

diff1delayed(t,x,u,flag,Ts,lambda,n)

diff2(t,x,u,flag,Ts,lambda,n)

linregdiff(t,x,u,flag,Ts,n)

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updated 6 months ago

Linear Deming Regression by James Hall

deming perfoms a linear Deming regression. Useful when errors are present in both x and y variables. (linear regression, regression, orthogonal regression)

deming(x,y,lambda,alpha)

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updated 8 months ago

Linear Regression with Multiple Variables by Jason Joseph Rebello

Linear regression (housing prices, linear regression, multiple variables)

NormalEquation(XNormEqn,y)

cost(X,y,theta)

featureNormalize(X)

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updated 8 months ago

Bayesian robust regression mixture model by Gabriel Agamennoni

MatLab object for clustering real-valued input-output data with noise and outliers (clustering, linear regression, bayesian models)

brrmmtest()

(ConstructOnLoad) brrmm %#ok

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updated 11 months ago

polyfitn by John D'Errico

John D'Errico (view profile)

Polynomial modeling in 1 or n dimensions (polyfit, modeling, regression)

polyfitn_demo

polydern(p,diffvar)

polyfitn(indepvar,depvar,modelterms)

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updated 12 months ago

bootgmregresspi by Antonio Trujillo-Ortiz

Bootstrap Interval Prediction of a Single Value for a Geometric Mean Regression (RMA). (bootstrap, geometric mean regres..., linear regression)

bootgmregresspi.m

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updated 12 months ago

gmregresspi by Antonio Trujillo-Ortiz

Interval Prediction of a Single Value for a Geometric Mean Regression-Reduced Major Axis Regression. (predicted interval, geometric mean regres..., linear regression)

gmregresspi.m

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updated 12 months ago

gmregress by Antonio Trujillo-Ortiz

Geometric Mean Regression (Reduced Major Axis Regression). (linear regression, model ii, geometric mean regres...)

gmregress.m

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updated 1 year ago

Robust linear regression by Damien Garcia

Damien Garcia (view profile)

RLINFIT(x,y) returns the coefficient estimates (slope and intercept) for a robust linear regression (linear regression, robust)

rlinfit(x,y,p)

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updated 1 year ago

gapolyfitn by Richard Crozier

optimises the functional form of a multi-dimensional polynomial fit to model data (optimization, linear regression, modelling)

GenerateNewTerm(vars, maxPower, poly, maxLoops)

HasTerm(p1, p2, newTerm, vars)

PolyFitScore(polyVec, polyStruct)

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updated 1 year ago

Linear Regression with Multiple Variables without regularization by Jason Rebello

Demo of Linear regression (statistics, demo, linear regression)

NormalEquation(XNormEqn,y)

cost(X,y,theta)

featureNormalize(X)

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updated 3 years ago

New Regression Capabilities in r2012a by Richard Willey

Richard Willey (view profile)

Example code to accompany the "New Regression Capabilities" presentation (linear regression, regression, nonlinear regression)

CurvesSurfaces.m

GLMs.m

Housing.m

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updated 3 years ago

Weighted and unweighted linear fit by Ebo

Ebo (view profile)

Fit data points with different standard deviations by weighting them. (weighted linear fit, weighted linear regre..., linear regression)

Results=weightedfit(data)

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updated 3 years ago

Theil–Sen estimator by Arnout Tilgenkamp

Robust regression for slope estimation between 1dimensional X and y (regression, slope, estimation)

Theil_Sen_Regress(x,y)

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updated 3 years ago

Fit GLM with quadratic penalty by Patrick Mineault

Fits GLM with a quadratic penalty, determines hyperparams through cross-validation or evidence (glm, generalized linear mo..., maximum a posteriori)

crossValidate(y,X,lambda0,fitfun,valfun,folds,opts)

cvglmfitqp(y,X,qf,folds,opts)

evalGlmLikelihood(y,X,w,b,family,familyextra,weights)

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updated almost 4 years ago

Optimization Tips and Tricks by John D'Errico

John D'Errico (view profile)

Tips and tricks for use of the optimization toolbox, linear and nonlinear regression. (optimization, examples, tutorial)

optimtips

[x,fval,exitflag,output]=fminsearchbnd(fun,x0,LB,UB,optio...

consolidator(x,y,aggregation_mode,tol)

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updated almost 4 years ago

bootgmregress by Antonio Trujillo-Ortiz

Bootstrap Geometric Mean Regression (Bootstrap Reduced MajorAxis Regression). (bootstrap, geometric mean regres..., linear regression)

bootgmregress.m

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updated almost 5 years ago

LSE by John D'Errico

John D'Errico (view profile)

A linear least squares solver, subject to linear equality constraints (least squares, regression, linear regression)

lse(A,b,C,d,solverflag,weights)

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updated almost 5 years ago

Hausdorff regression by Thomas Meinguet

Linear regression minimizing the Hausdorff between the line segment and the given set of points. (linear regression, hausdorff distance)

H=hausdorff(A,B,p),

[f,g]=objfunction(x)

Demo.m

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updated almost 5 years ago

maregress by Antonio Trujillo-Ortiz

Major Axis Regression (Principal Axis Regression). (linear regression, model ii, major axis)

maregress(x,y,alpha)

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updated almost 5 years ago

rmaregress by Antonio Trujillo-Ortiz

Ranged Major Axis Regression. (linear regression, model ii, ranged major axis)

rmaregress.m

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updated almost 5 years ago

Bartregress by Antonio Trujillo-Ortiz

Bartlett's Three Group Regression. (linear regression, model ii, bartletts three group...)

Bartregress.m

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updated almost 5 years ago

Linear Median Squared Error by Will Dwinnell

Linear median squared error function for linear functions (statistics, regression, linear regression)

LinearMedianSquaredError(B,X,Y)

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updated 5 years ago

Linear Regression with Errors in X and Y by Travis Wiens

Travis Wiens (view profile)

Calculates slope and intercept for linear regression of data with errors in X and Y. (mathematics, measurement, statistics)

ellipse(Xc,Yc,dX,dY,N_p)

york_fit(X,Y,sigma_X,sigma_Y, r)

demo_york.m

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updated 5 years ago

Linear Regression by michael scheinfeild

linear regressing fit to line in the method of gradient descent for minimizing square error (linear regression, gradient descent, fitting line)

gradient_descent_opt(xi,yi,theta_st,nsteps,mindiff,learnr...

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updated 5 years ago

Passing and Bablok regression by Andrea Padoan

Andrea Padoan (view profile)

Passing & Bablok regression is a linear regression procedure usefull for comparing clinical methods (passing bablok regres..., statistics, methods comparison)

PassingBablok (x,y)

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updated 5 years ago

der.m v1.0 (Nov, 2009) by Carlos Adrian Vargas Aguilera

Estimates first derivative of an array by using POLYFIT locally on each point ignoring NaNs! (diff, gradient, derivative)

der(X,DT,W,DEG,PAD,DIM)

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updated 6 years ago

Legendre polynomial fitting by Siqing Wu

Fitting data using a linear combination of Legendre polynomials (legendre polynomials, linear regression, curve fitting)

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updated 6 years ago

Non-negative Garotte by Statovic

Statovic (view profile)

Implementation of Leo Breiman's non-negative garotte for linear regression (statistics, probability, regression)

[beta shrcf rss]=nng_garotte(X,y,s)

[beta,s,perror,se]=nng_finds(X,y,Options)

err=nng_kcv(X,y,nfolds,s)

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updated 7 years ago

Orthogonal Linear Regression by F. Carr

F. Carr (view profile)

Fit data using orthogonal linear regression. (approximation, interpolation, linear regression)

linortfit2(xdata, ydata)

linortfitn(data)

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updated 10 years ago

Orthogonal Linear Regression by Per Sundqvist

Per Sundqvist (view profile)

Fits a line y=p0+p1*y to a dataset (xdata,ydata) in an orthogonal way. (approximation, interpolation, linear regression)

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updated almost 11 years ago

arsoswod by Antonio Trujillo-Ortiz

Comparision of simple linear regression equations without data. (statistics, probability, regression coefficien...)

arsoswod(X,alpha)

qtukey(v,k,p);

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